BANC (Brain And Nerve Cord)
Harvard Medical School (Lee & Wilson labs), Princeton University (Murthy lab), Harvard (Drugowitsch lab)
Connectome of a single adult female fruit fly imaged at 4 nm by serial-section EM, covering her brain and ventral nerve cord together at synapse resolution, which no earlier dataset had managed in one animal. The README reports about 188,000 neurons and 199 million predicted synapses; the analysis code (mostly R) and the Dataverse data are both released under CC BY 4.0. The paper by Bates, Phelps, Kim, Yang and colleagues was published open access in Nature in 2026.
htem/BANC-project README (CC BY 4.0)Sources checked
Every fact above was read from these pages on the date the entry was added.
- github.com https://github.com/htem/BANC-project
- raw.githubusercontent.com https://raw.githubusercontent.com/htem/BANC-project/main/README.md
- codex.flywire.ai https://codex.flywire.ai/
Used by: 6 projects
connectome_interpreter
Yijie Yin, University of Cambridge
A Python library that turns a wiring diagram into testable hypotheses about circuit function, and it runs on a laptop or in Colab even for whole-brain analyses of around 140,000 neurons. It computes polysynaptic effective connectivity between groups of neurons with or without signs, retrieves and plots the actual subcircuit between sources and targets, and exposes a differentiable connectome model. Installable from PyPI, with an accompanying preprint and Colab notebook.
coconatfly
Gregory Jefferis (natverse)
An R package from Greg Jefferis that puts one uniform interface over the major fly connectomes so the same partner-query or cell-type comparison can be run across hemibrain, FlyWire, MANC, FANC, BANC, the male CNS and the male optic lobe. It is flagged as experimental and its API may still change, but it is already the workhorse for hemibrain-versus-FlyWire comparisons in the natverse community.
connectome_data_prep
Yijie Yin, University of Cambridge
Yijie Yin's (Cambridge) notebooks and scripts for turning raw connectome releases into analysis-ready sparse connectivity matrices and metadata tables, with axon/dendrite splitting via flow centrality. It covers the adult male CNS, BANC, FlyWire/FAFB, hemibrain and MANC as well as the larval connectome, and includes benchmarking code for the pathfinding and effective-connectivity analyses used in the Connectome Interpreter framework. No license file is present.
Fly Connectome Data Tutorial (SJCABS)
SJCABS winter school (Sven Dorkenwald & Alexander Bates)
Course material from the San Juan Winter School on Connectomics and Brain Simulation, written by Sven Dorkenwald and Alexander Bates, that walks students from loading data to morphology, direct and indirect connectivity analysis in both Python and R. Its most useful feature is a harmonised metadata schema and a public cloud bucket covering BANC, FAFB, the male CNS, MANC and hemibrain, so the same notebooks run across all five datasets.
FlyWire Codex
Princeton Neuroscience Institute
A browser-based explorer developed at the Princeton Neuroscience Institute that lets anyone search, filter and visualise large connectomes entirely in the browser, with no local install or bulk download. Beyond FlyWire's own FAFB v783 (139,255 neurons) it now serves BANC v888, Janelia's MANC v1.2.1, the male optic lobe (MAOL v1.1) and the male CNS v1.0, and had passed 60,000 registered users by early 2026. The open-source code lives in the murthylab/codex repository under Apache-2.0.
Wikipedia: Drosophila connectome
Wikipedia (Wikimedia Foundation)
Community-written encyclopedia article that serves as a one-stop overview of fruit fly connectomics, explaining why Drosophila is used as a model and walking through the major datasets from the 3,016-neuron larval brain to the adult hemibrain, FlyWire, the FANC and MANC nerve cords, and the 2025 whole-CNS BANC and male CNS reconstructions. It also touches on how wiring structure relates to behavior. Text is under CC BY-SA 4.0; last edited August 11, 2026.

